Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Maneesha Bhalla

Maneesha Bhalla
Director, Advanced Analytics, Office Depot

Maneesha Bhalla is director of advanced analytics at Office Depot. A thought leader with 16+ years of experience in data analytics and data science specifically in customer analytics, Maneesha is passionate about data-driven approaches to turn data into insights and has a proven ability to build and lead highly efficient teams to enable the organization’s strategic priorities. Maneesha holds a certificate from the Executive Management Program in Global Business Management at IIM Calcutta and a bachelor’s degree in chemical engineering from Pune University.

Sessions

4:20pm–5:00pm Wednesday, March 27, 2019
User-based real-time product recommendations leveraging deep learning using Analytics Zoo on Apache Spark and BigDL
Data Science, Machine Learning & AI
 Location: 2016
Secondary topics:  Deep Learning, Retail and e-commerce
Luyang Wang (Restaurant Brands International), Jing (Nicole) Kong (Office Depot), Guoqiong Song (Intel), Maneesha Bhalla (Office Depot)
Average rating: ****.
(4.00, 2 ratings)
User-based real-time recommendation systems have become an important topic in ecommerce. Lu Wang, Nicole Kong, Guoqiong Song, and Maneesha Bhalla demonstrate how to build deep learning algorithms using Analytics Zoo with BigDL on Apache Spark and create an end-to-end system to serve real-time product recommendations. Read more.